Abstract: An electronic device having a camera, while displaying a live preview for the camera, detects activation of a shutter button at a first time. In response, the electronic device acquires, by the camera, a representative image that represents a first sequence of images, and a plurality of images after acquiring the representative image, and also displays an indication in the live preview that the camera is capturing images for the first sequence of images. The electronic device groups images acquired by the camera in temporal proximity to the activation of the shutter button at the first time into the first sequence of images, such that the first sequence of images includes a plurality of images acquired by the camera prior to detecting activation of the shutter button at the first time, the representative image, and the plurality of images acquired by the camera after acquiring the representative image.

Abstract: The subject technology determines input parameters and an output format of algorithms for a particular functionality provided by an electronic device. The subject technology determines an order of the algorithms for performing the particular functionality based on temporal dependencies of the algorithms, and the input parameters and the output format of the algorithms. The subject technology generates a graph based on the order of the algorithms, the graph comprising a set of nodes corresponding to the algorithms, each node indicating a particular processor of the electronic device for executing an algorithm. Further, the subject technology executes the particular functionality based on performing a traversal of the graph, the traversal comprising a topological traversal of the set of nodes and the traversal being based on a score indicating whether selection of a particular node for execution over another node enables a greater number of processors to be utilized at a time.

Abstract: An electronic device having a camera, while displaying a live preview for the camera, detects activation of a shutter button at a first time. In response, the electronic device acquires, by the camera, a representative image that represents a first sequence of images, and a plurality of images after acquiring the representative image, and also displays an indication in the live preview that the camera is capturing images for the first sequence of images. The electronic device groups images acquired by the camera in temporal proximity to the activation of the shutter button at the first time into the first sequence of images, such that the first sequence of images includes a plurality of images acquired by the camera prior to detecting activation of the shutter button at the first time, the representative image, and the plurality of images acquired by the camera after acquiring the representative image.

Abstract: The subject technology determines input parameters and an output format of algorithms for a particular functionality provided by an electronic device. The subject technology determines an order of the algorithms for performing the particular functionality based on temporal dependencies of the algorithms, and the input parameters and the output format of the algorithms. The subject technology generates a graph based on the order of the algorithms, the graph comprising a set of nodes corresponding to the algorithms, each node indicating a particular processor of the electronic device for executing an algorithm. Further, the subject technology executes the particular functionality based on performing a traversal of the graph, the traversal comprising a topological traversal of the set of nodes and the traversal being based on a score indicating whether selection of a particular node for execution over another node enables a greater number of processors to be utilized at a time.

Abstract: Disclosed herein are systems, device, methods, and non-transitory computer-readable storage media for enabling semi-manual media capture. Semi-manual media capture can involve calculating optimal exposure settings in an auto-exposure loop, displaying a scene with optimal exposure settings in real time, receiving a manual adjust gesture, and adjusting the scene, in real time, based on the manual adjust gesture.

Abstract: Techniques and devices for acquiring and compressing timelapse video are described. The techniques are adaptive, in that the acquisition frame rate is adapted and captured images are periodically deleted during filming. To implement the method, a user need not know ahead of time how long the source video will be acquired. Regardless of the acquisition time, the resulting video is automatically edited to provide a timelapse clip of a predefined length or of a length within a predefined range.

Abstract: For cameras that capture several images in a burst mode, some embodiments of the invention provide a method that presents one or more of the captured images differently than the remaining captured images. The method identifies at least one captured image as dominant image and at least another captured image as a non-dominant image. The method then displays each dominant image different from each non-dominant image in a concurrent presentation of the images captured during the burst mode. The dominant images may appear larger than non-dominant images, and/or appear with a marking that indicates that the images are dominant.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for providing visual indication that the image capture device is actively recording frames for a time lapse output sequence by providing indicia that communicates to a user that the image capture device is actively recording frames for the time lapse output sequence. Allowing user to perform time lapse sequence captures with a simple set up and with auto-adjustments when events occur that might otherwise detract from output quality.

Abstract: An electronic device includes a camera. While in a first media acquisition mode for the camera the device displays a live preview on the display. While displaying the live preview, the device detects activation of a shutter button. In response to detecting activation of the shutter button, the device groups a plurality of images acquired by the camera in temporal proximity to the activation of the shutter button into a sequence of images. The sequence of images includes: a plurality of images acquired by the camera prior to detecting activation of the shutter button; a representative image that represents the first sequence of images and was acquired by the camera after one or more of the other images in the first sequence of images; and a plurality of images acquired by the camera after acquiring the representative image.

Abstract: Disclosed herein are systems, device, methods, and non-transitory computer-readable storage media for enabling semi-manual media capture. Semi-manual media capture can involve calculating optimal exposure settings in an auto-exposure loop, displaying a scene with optimal exposure settings in real time, receiving a manual adjust gesture, and adjusting the scene, in real time, based on the manual adjust gesture.

Abstract: Disclosed herein are systems, device, methods, and non-transitory computer-readable storage media for enabling semi-manual media capture. Semi-manual media capture can involve calculating optimal exposure settings in an auto-exposure loop, displaying a scene with optimal exposure settings in real time, receiving a manual adjust gesture, and adjusting the scene, in real time, based on the manual adjust gesture.

Abstract: Disclosed are devices, systems, methods, and non-transitory computer-readable storage media for displaying useful countdown timers on a media capture device. A media capture device can increase contrast between countdown timer and the video of a scene to be captured by a media capture device and adjust the position and size of a counter displayed on the device based on whether the object is determined to be closer or further than a predetermined threshold distance. Countdown timers can be triggered by detection of objects and gestures.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for organizing media items according to a contextual moment in which they were captured. Media items can be tagged with unique moments by using temporal data and location data to define moments and to partition collections of media items by the moment they were captured.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for providing visual indication that the image capture device is actively recording frames for a time lapse output sequence by providing indicia that communicates to a user that the image capture device is actively recording frames for the time lapse output sequence. Allowing user to perform time lapse sequence captures with a simple set up and with auto-adjustments when events occur that might otherwise detract from output quality.

Abstract: For cameras that capture several images in a burst mode, some embodiments of the invention provide a method that presents one or more of the captured images differently than the remaining captured images. The method identifies at least one captured image as dominant image and at least another captured image as a non-dominant image. The method then displays each dominant image different from each non-dominant image in a concurrent presentation of the images captured during the burst mode. The dominant images may appear larger than non-dominant images, and/or appear with a marking that indicates that the images are dominant.

Abstract: Disclosed herein are systems, device, methods, and non-transitory computer-readable storage media for enabling semi-manual media capture. Semi-manual media capture can involve calculating optimal exposure settings in an auto-exposure loop, displaying a scene with optimal exposure settings in real time, receiving a manual adjust gesture, and adjusting the scene, in real time, based on the manual adjust gesture.

Abstract: Disclosed are devices, systems, methods, and non-transitory computer-readable storage media for displaying useful countdown timers on a media capture device. A media capture device can increase contrast between countdown timer and the video of a scene to be captured by a media capture device and adjust the position and size of a counter displayed on the device based on whether the object is determined to be closer or further than a predetermined threshold distance. Countdown timers can be triggered by detection of objects and gestures.

Abstract: Disclosed herein are systems, device, methods, and non-transitory computer-readable storage media for enabling semi-manual media capture. Semi-manual media capture can involve calculating optimal exposure settings in an auto-exposure loop, displaying a scene with optimal exposure settings in real time, receiving a manual adjust gesture, and adjusting the scene, in real time, based on the manual adjust gesture.

Abstract: For cameras that capture several images in a burst mode, some embodiments of the invention provide a method that presents one or more of the captured images differently than the remaining captured images. The method identifies at least one captured image as dominant image and at least another captured image as a non-dominant image. The method then displays each dominant image different from each non-dominant image in a concurrent presentation of the images captured during the burst mode. The dominant images may appear larger than non-dominant images, and/or appear with a marking that indicates that the images are dominant.

Abstract: Disclosed are devices, systems, methods, and non-transitory computer-readable storage media for displaying useful countdown timers on a media capture device. A media capture device can increase contrast between countdown timer and the video of a scene to be captured by a media capture device and adjust the position and size of a counter displayed on the device based on whether the object is determined to be closer or further than a predetermined threshold distance. Countdown timers can be triggered by detection of objects and gestures.